subject: Issues In Big Data [print this page] Data mining is a key technique in the practice of business intelligence in order to grow and evolve a business and in brand building. The newly introduced concept in data mining is Big data, which is a buzzword in business intelligence. Various companies are using various Big data analysis tools and solutions in order to achieve a detailed pattern analysis & gain momentum in business. While businesses thinks that deploying a Big data technology would solve their issue of slow data processing of huge volumes of data and speed up their decision-making practices, various issues are faced by these businesses while operating upon Big data services. Indeed, analysis of huge piles of data is beneficial in order to gain in-depth awareness about business outcomes. A number of issues which are to be tackled by companies in order to exploit Big data. Issues like:
Comprehension of data source: The major concern of business intelligence tools is the centralization of data source in order to analyze and process it further. However, in actual practice, companies rely on disparate source of data, due to unavailability of centralized data repository or unavailability of maintenance executives.
Facts discovery: Seems quite ironic but sometimes it becomes an issue for a person when such relation discovery digs out personal facts related to them. Its the human nature to keep secrets which they don't want to share, but with Big data the routine behavior and activities of people may bring out such implication, which are personally related to a group of individuals or an individual.
Shortage of data scientists: Skills required to make use of big data technology for analytics is still in shortage which could eventually affect a business adversely. Even if the technology is deployed with its full capabilities, the effectiveness of any decision lies in the logical sense of decision-makers. In case, if the data visualization is not appropriate according to top management or decision-maker, it nullifies the need of deploying Big data for business development.
Utility: The Big data analysis may not prove to be useful in short-term or short duration of time, rather it doesn't matter in any decision-making. It only helps in the analysis of data collected over a long period of time, using various metrics. In actual practice, Big data is not about the large amount of data collected over a short-duration of time instead, it is about studying large amount of data collected over a long-duration of time. This is what makes Big data, a next level concept of data mining.
Being an evolving concept doesn't necessarily direct it to failures and less beneficial as many proven methodologies were quite loose at their start-up but with time they became an important part of business development. It only depends on the consent of the decision maker to take help of big data for faster processing of data and market patterns and makes use of his own experience to suggest proper action plan.
